Incorporating Coreference to Automatic Evaluation of Coherence in Essays

Autor:	Magdaléna Rysová, Michal Novák, Jiří Mírovský, Kateřina Rysová
Rok vydání:	2017
Předmět:	Czech Coreference Information retrieval business.industry Computer science computer.software_genre language.human_language Annotation Resolver language Artificial intelligence Student learning Grading (education) business computer Natural language processing
Zdroj:	Statistical Language and Speech Processing ISBN: 9783319684550 SLSP
DOI:	10.1007/978-3-319-68456-7_5
Popis:	The paper contributes to the task of automated evaluation of surface coherence. It introduces a coreference-related extension to the EVALD applications, which aim at evaluating essays produced by native and non-native students learning Czech. Having successfully employed the coreference resolver and coreference-related features, our system outperforms the original EVALD approaches by up to 8% points. The paper also introduces a dataset for non-native speakers’ evaluation, which was collected from multiple corpora and the parts with missing annotation of coherence grade were manually judged. The resulting corpora contains sufficient number of examples for each of the grading levels.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::80e615ebbb47058d52a14efd6db52304 https://doi.org/10.1007/978-3-319-68456-7_5 Zobrazit plný text záznamu